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Added 16 mins ago
SM
Trust & Safety Engineer - Hapiko
Spin Master Ltd
Toronto, ON
- Full-time
…the core of the product. As our first dedicated Trust Safety engineer, you'll own the systems that keep it that way as we…
Added 16 mins ago
Cloud Support Eng. II (DSE), Support Engineering
Amazon
Toronto, ON · Vancouver, BC
As a Cloud Support Engineer you will learn at an accelerated pace how to use and leverage many different cloud technologies to help our customers succeed. You will act as the Cloud…
Added 30 mins ago
T
Software Engineer, Full Stack - Trace
Trace
Montreal, QC
- Full-time
…from quoting and booking to tracking and invoicing, into one platform, with AI agents built into the…
Added 31 mins ago
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Founding AI Engineer
Kouvre
Montreal, QC
- Full-time
As our Founding AI Engineer, you own the brain. You will partner closely with the Founding CTO to turn a plain-text message into the right action, building the reasoning, the agents, and…
Added 31 mins ago
V
Lead Optimizely Solutions Architect
Valtech
Canada
- Full-time
Define technology roadmaps and provide recommendations for platform evolution and modernization.
Added 31 mins ago
C
Senior Data Engineer
Clio
Canada
- Full-time
We are currently seeking a Senior Data Engineer to join our rapidly growing engineering team. This role is for someone who is passionate about building innovative data solutions and being…
Added 31 mins ago
AI
React Native- Lead
AI Interviews
Toronto, ON · Greater Toronto Area, Canada
- Contract
We are seeking a Senior/Lead React Native Engineer with 8+ years of mobile engineering and 5+ years of production React Native experience.Strong expertise in React Native 0.76+, New…
Added 31 mins ago
C
Senior Data Engineer
Clio
Toronto, ON
- Full-time
We are currently seeking a Senior Data Engineer to join our rapidly growing engineering team. This role is for someone who is passionate about building innovative data solutions and being…
Added 32 mins ago
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Staff Software Engineer - Capital One Travel Tech - Full-stack
Capital One
Toronto, ON
- Full-time
161 Bay Street (93021), Canada, Toronto,Toronto, Ontario,Staff Software Engineer - Capital One Travel Tech - Full-stack
Added 47 mins ago
QI
AI Engineer
Quartermaster inc.
Toronto, ON
- Full-time
We’re building Toronto’s dedicated platform for home management to empower the city’s homeowners and to better connect our neighbours and the local Pros they trust.
Added 47 mins ago
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Senior Software Engineer (Python / GenAI) – Markets Technology
Citi
Mississauga, ON
- Full-time
…management, and we are seeking an experienced Senior Python Engineer to sit at the center of that evolution. In this role, you will architect and scale robust backend systems, leveraging…
Added 59 mins ago
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Staff Data Developer
AtkinsRéalis
Montreal, QC
- Full-time
…quality, master data, operational data stores, analytics, and platform initiatives across multiple business…
Added 59 mins ago
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Principal AI Engineer, Agentic Models and Data Platforms
RBC
Calgary, AB
- Full-time
Contribute to reference architectures, reusable libraries, and platform components that accelerate delivery across teams.
Added 1 hour ago
Senior Security Engineer, Threat Response
Asana
Vancouver, BC
We are looking for a savvy Security Engineer to join our Blue Team. You will be a foundational member of the security presence in our Warsaw innovation hub, partnering directly with IT,…
Added 1 hour ago
LC
Data Engineer II
Loblaw Companies Limited
Brampton, ON
- Full-time
Loblaw Technology & Analytics is looking for a Data Engineer II to join the Data & AI platform team. You will help design, build, and maintain the cloud services, workflow orchestration,…
Added 1 hour ago
M
Senior DevOps Engineer
Miovision
Remote, Canada
- $130,000 to $170,000 CAD / year
- Full-time
- Remote
We are currently looking for a Senior DevOps Engineer to contribute to the development of our cloud infrastructure and platform tooling, embed security into our engineering lifecycle, and…
Added 1 hour ago
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Senior Data Engineer
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Toronto, ON
- Contract
We are seeking a hands-on Data Engineer to support the Total Fund Management Portfolio Management Technology team. This role focuses on implementing reliable data solutions in a…
Added 1 hour ago
Technology Lead
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ON
…managing, securing, and optimizing Databricks environments on cloud platform: AWS. The ideal candidate should have hands-on experience in cloud database administration, cluster management,…
Added 1 hour ago
SM
Trust & Safety Engineer - Hapiko
Spin Master
Toronto, ON
- Full-time
…core of the product. As our first dedicated Trust & Safety engineer, you'll own the systems that keep it that way as we…
Added 2 hours ago
VC
Développeur fiscal - Ingénieur de données | Tax Developer - Data Engineer
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Montreal, QC · Saint-Laurent, Quebec
- Full-time
Valsoft is looking for a Data Analytics Engineer to join our Tax department in Montreal, Quebec, working closely with Tax, Finance, Data Platform teams, and external consultants to build…
Added 2 hours ago
Senior Forward-Deployed AI Engineer 1
Bell
Toronto, ON
As a Senior Forward-Deployed AI Engineer, you will own engagements end-to-end: scoping the problem, choosing the right approach across automation, classical ML, and GenAI/agents, and taking…
Added 2 hours ago
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Civil Land Development Engineer
Dillon Consulting Limited
Winnipeg, MB
- Full-time
Dillon’s Land Development Business Unit is looking for a Civil Land Development Engineer to fill an existing vacancy within our multidisciplinary team of professionals . You will have the…
Added 2 hours ago
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Senior Machine Learning Engineer
Autodesk
Toronto, ON · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
We are looking for an exceptional Machine Learning Engineer to design, build, operationalize, and scale production-grade AI/ML and Agentic AI systems at Autodesk For Go-to-market…
Added 3 hours ago
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SRE/ Platform Engineer
Realtek Consulting LLC
Toronto, ON
- Contract
Seeking a hands-on engineer to drive the reliability automation and modernization of the enterprise JAMS workload automation platform.
Added 3 hours ago
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Senior Product Engineer II - Backend
Docebo
Toronto, ON
- $123,400 to $164,500 CAD / year
- Full-time
…and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we…

Capgemini

Data Engineer - Analytics

Montreal, QC, Canada

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Job details

Posting language: English
Posted: Sep 16, 2026

Original job description

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Job Description:

Responsibilities Include

Design, develop, and maintain scalable measurement frameworks that provide end-to-end visibility into control coverage, health, effectiveness, and behavioral performance.
Leverage AI Intelligence to optimize architecture and improve automation.
Engineer observability solutions that proactively monitor configuration changes, control performance, operational trends, risk signals, and testing outcomes.
Continuously assess risk posture against defined tolerance thresholds and identify areas that are within limits, approaching breach, or out of tolerance.
Identify directional trends across control populations, including improvement patterns, degradation signals, and early warning indicators.
Expose relationships between controls, technology assets, processes, and levels of criticality to identify where risk is concentrated and where failures may have the greatest impact.
Acquire, transform, enrich, validate, and reconcile data used within reporting, measurement, and control observability frameworks.
Develop lightweight integrations and automated data acquisition approaches across enterprise platforms, internal datasets, and operational data sources.
Engineer, implement, and maintain Key Risk Indicators (KRIs), Key Control Indicators (KCIs), Key Performance Indicators (KPIs), scorecards, and supporting measurement methodologies.
Design scalable metric architectures capable of supporting large populations of controls, technology assets, operational processes, and risk reporting use cases.
Translate stakeholder requirements into business rules, calculation logic, control measurements, analytical models, and repeatable reporting outputs.
Develop analytical models, dashboards, scorecards, executive reporting, and observability views that steer business decisions and improve risk management outcomes.
Analyze complex datasets to identify trends, anomalies, emerging risks, data integrity concerns, and opportunities for operational improvement.
Automate KRI reporting processes, governance deliverables, dashboards, observability, risk scorecards, and ticket workflow automation where appropriate.
Support Risk Control Observability reporting initiatives, scorecard development, stakeholder roadshows, and alignment with governance forums.
Identify opportunities to automate manual operational processes, legacy scripts, reporting activities, workflow handoffs, and analytical procedures.
Leverage Python, SQL, Snowflake, Power Platform, Power Automate, repositories, SDLC practices, source control, GitHub Copilot, and AI-assisted development to deliver scalable solutions.
Research and apply Generative AI, Cortex Platform capabilities, AI skills development, and emerging technologies to improve workflow automation, proactive risk identification, and capability enhancements.
Gather, document, and refine business requirements through direct stakeholder engagement, structured problem-solving, and strong communication.
Translate ambiguous business challenges into actionable analytical, engineering, automation, and reporting solutions.
Support product ownership, squad delivery, program leadership, roadmap development, prioritization, horizontal strategy, and executive-level presentations.

Qualifications and Skills Required:

5+ years of experience in Analytics Engineering, Data Engineering, or Business Intelligence.
2+ years of experience using AI development tools and frameworks.
Strong problem-solving and critical-thinking capabilities with the ability to decompose complex challenges into practical, scalable solutions.
Demonstrated ability to learn new technologies, business domains, platforms, and analytical methodologies quickly.
Excellent verbal and written communication skills with the ability to engage both technical and non-technical stakeholders.
Experience soliciting requirements from stakeholders and translating business objectives into measurable technical outcomes.

The base compensation range for this role in the posted location is: 72,000 to 96,900

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave

Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
Life and disability insurance
Employee assistance programs
Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

Disclaimers

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

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More about this job

Responsibilities

Design, develop, and maintain scalable measurement frameworks and observability solutions to monitor control performance and risk signals. Automate reporting processes and leverage AI tools to optimize architecture and improve operational efficiency.

Requirements

Requires 5+ years of experience in Analytics or Data Engineering and 2+ years of experience with AI development tools. Candidates must possess strong problem-solving skills and the ability to translate complex business requirements into technical solutions.

Skills

Data Engineering
Analytics Engineering
Business Intelligence
Python
SQL
Snowflake
Power Platform
Power Automate
Generative AI
Data Modeling
Risk Management
Observability
Automation
SDLC
Communication
Problem-solving

Benefits

Paid time off
Company paid holidays
Personal days
Sick leave
Medical coverage
Dental coverage
Vision coverage
Retirement savings plans
Life insurance
Disability insurance
Employee assistance programs

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Analytics Engineering
Business Intelligence
Python
SQL
Snowflake
Power Platform
Power Automate
Generative AI
Cortex Platform
GitHub Copilot
SDLC
Risk Management
KRI
KCI
KPI
Observability
Automation
Data Modeling
Dashboarding
Reporting
Governance
Analytical Models
Workflow Automation
Stakeholder Engagement
Strategy
Cloud
Data Integrity
Risk Signals
Measurement Frameworks

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